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Song Zhang

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Sep 2026

scGFormer: A Multi-Scale Graph-Transformer for Cell Type Annotation in Single-Cell RNA Sequencing

ScGFormer is equipped with a biology-guided adaptive contrastive learning strategy, which is designed to account for zero inflation, balance class distributions, and refine dynamic graphs during training, thereby facilitating robustness and adaptability.

Zi-Qi Yuan, Hong-Wei Zhang, Cheng Liu et al. · 0 citations

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